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Research profile

Gijs Dubbelman is an Assistant Professor with the Video Coding and Architecture (VCA) group at Eindhoven University of Technology (TU/e)/ Here, he heads the Mobile Perception Systems (MPS) research cluster, which focuses on signal processing technologies that allow mobile sensor platforms to perceive the world around them. His areas of expertise include computer vision and multiple-view geometry and robotics and he has been working on topics such as large-scale visual-odometry, simultaneous localization and mapping, bundle adjustment and on-line camera re-calibration. Gijs also has a background in computer graphics, software engineering and project management.

Key research areas are computer vision, pattern recognition, robotics, and sensor fusion. Important application domain of MPS are automotive and transportation. Gijs’ line of research focuses on 3-D computer vision systems for autonomous robots and vehicles. He has designed and developed state-of-the-art computer vision algorithms for obstacle detection, ego-motion estimation, and simultaneous localization and mapping. He contributed the COP-SLAM algorithm for real-time embedded visual-SLAM to the scientific open-source project OpenSLAM.

Academic background

Gijs Dubbelman obtained his BSc in Information and Communication Technology and his MSc Degree cum laude in Artificial intelligence from the University of Amsterdam. In 2011 he obtained his PhD from the same university on the topic of intrinsic statistical techniques for robust pose estimation. He performed his PhD research on robust estimation of motion parameters from image data using intrinsic statistics in close cooperation with Intelligent Imaging department of the national organization of applied scientific research of the Netherlands (TNO), which funded the research. In 2011 and 2012 Gijs was a member of the internationally renowned Field Robotics Center of Carnegie Mellon's Robotics Institute. He worked in close collaboration with the National Robotics Engineering Center (NREC) and with CMU's Qatar campus. 

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Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2016 2021


van Hout, J., Tafur Monroy, I., Kurtic - Brajic, M., Kurtic - Brajic, M., Calabretta, N., Johannsen, U., Okonkwo, C., Heemstra de Groot, S. M., Dubbelman, G., Kiss, D., Rommel, S., Cimoli, B., den Ouden, J., Sanders, R., Barros Carvalho, J. & Meyer, E.

Comm. European Communities (EEG)


Project: Research direct

PRYSTINE: PRogrammable sYSTems for INtelligence in AutomobilEs

Sartorius - ter Haar, M., Keijzers, A., Keijzers, A., Dubbelman, G., Das, A., Tigrek, R. F. & Bighashdel, A.

Infineon Technologies AG


Project: Research direct

AUTOmated driving Progressed by Internet Of Things

Dubbelman, G., den Ouden, J., Dubbelman, G., Roomi Zadeh, A., van Hout, J., Keijzers, A. & Keijzers, A.


Project: Research direct

Vision Inspired Driver Assistance Systems

van Hout, J., Keijzers, A., Keijzers, A., Dubbelman, G., Sanberg, W. P., den Ouden, J. & Das, A.


Project: Research direct

Cloud Large Scale Video Analysis

de With, P. H. N., Dubbelman, G., Dubbelman, G., Keijzers, A., Keijzers, A., Meletis, P., den Ouden, J., Roomi Zadeh, A. & van Hout, J.


Project: Research direct

Research Output 2013 2019

A domain agnostic normalization layer for unsupervised adversarial domain adaptation

Romijnders, R. R. F. M., Meletis, P. & Dubbelman, G., 4 Mar 2019, 2019 IEEE Winter Conference on Applications of Computer Vision (WACV). Piscataway: Institute of Electrical and Electronics Engineers, p. 1866-1875 10 p. 8658995. (Proceedings - 2019 IEEE Winter Conference on Applications of Computer Vision, WACV 2019).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Network performance
Neural networks
Open Access

Data selection for training semantic segmentation CNNs with cross-dataset weak supervision

Meletis, P., Romijnders, R. R. F. M. & Dubbelman, G., 2019, (Accepted/In press) IEEE ITSC 2019.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

explosive devices
Ground vehicles
Real time systems
change detection

From stixels to asteroids: towards a collision warning system using stereo vision

Sanberg, W., Dubbelman, G. & de With, P., 14 Jan 2019, IS&T Electronic Imaging: Autonomous Vehicles and Machines. Society for Imaging Science and Technology, 6 p. 034

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access
Intelligent vehicle highway systems
Stereo vision
Alarm systems
Pattern recognition


Best paper award

Dennis van de Wouw (Recipient), M.A.R. Pieck (Recipient), G. Dubbelman (Recipient) & P.H.N. de With (Recipient), Feb 2017

Prize: OtherCareer, activity or publication related prizes (lifetime, best paper, poster etc.)Scientific


Advanced Automotive Sensing

1/09/18 → …


Automotive sensing

1/09/14 → …


Spectrum of Automotive

1/09/17 → …



Mobile Perception Systems

Gijs Dubbelman (Content manager)

Impact: Research Area


Student theses

Accurate object localization from a single image for pick-and-place robotics

Author: van Riel, S., 29 Nov 2018

Supervisor: Dubbelman, G. (Supervisor 1) & Woudsma, T. (External person) (External coach)

Student thesis: Master

A comparative study on modern lane detection algorithms

Author: van de Belt, B., 30 Aug 2018

Supervisor: Dubbelman, G. (Supervisor 1) & Das, A. (Supervisor 2)

Student thesis: Master

A domain agnostic normalization layer for unsupervised adversarial domain adaptation

Author: Romijnders, R., 30 Aug 2018

Supervisor: Meletis, P. (Supervisor 1) & Dubbelman, G. (Supervisor 2)

Student thesis: Master

An experimental framework for map-based relative localization in autonomous driving applications

Author: Gideon Devanesan, J., 19 Dec 2017

Supervisor: Dubbelman, G. (Supervisor 1)

Student thesis: Master

Design of a track detection algorithm for a driverless formula student racing car

Author: van der Smagt, T., 23 Apr 2019

Supervisor: van de Molengraft, R. (Supervisor 1), Dubbelman, G. (Supervisor 2) & Barosan, I. (Supervisor 2)

Student thesis: Master